Book Image

Testing Practitioner Handbook

By : Renu Rajani
Book Image

Testing Practitioner Handbook

By: Renu Rajani

Overview of this book

The book is based on the author`s experience in leading and transforming large test engagements and architecting solutions for customer testing requirements/bids/problem areas. It targets the testing practitioner population and provides them with a single go-to place to find perspectives, practices, trends, tools, and solutions to test applications as they face the evolving digital world. This book is divided into five parts where each part explores different aspects of testing in the real world. The first module explains the various testing engagement models. You will then learn how to efficiently test code in different life cycles. The book discusses the different aspects of Quality Analysis consideration while testing social media, mobile, analytics, and the Cloud. In the last module, you will learn about futuristic technologies to test software. By the end of the book, you will understand the latest business and IT trends in digital transformation and learn the best practices to adopt for business assurance.
Table of Contents (56 chapters)
Testing Practitioner Handbook
Credits
About the Author
Acknowledgement
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Digital transformation QA trends in EUC


As per WQR 2016, a key technology change associated with digital strategies is cloud adoption. Cloud-based provisioning and services have been slow to catch on within the utilities industry for the past few years, but they catching up the momentum in recent years. Along with digital, the utilities industries will focus on cyber security too.

On the operations side, forecasting comes to the forefront even more than anything from the past 15 years. The executives in utilities are trying to manage their grids, tying to figure out how to handle data, to figure out how to position the need for the future. Today, most of the industries are relying significantly on data-driven decisions. The utility industry is in need of analyzing demand forecast programs. They are looking for feasible choices, looking for optimum solution for the need, which is going to give them the best information and solution. Many of the large utilities are still running on legacy...